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Limited genotypic and geographic variability of 16-O-methylated diterpene content in Coffea arabica green beans

Portaluri Vincent, Thomas Freddy, Guyader Sophie, Jamin Eric, Bertrand Benoît, Remaud Gérald S., Schievano Elisabetta, Mammi Stefano, Guercia Elena, Navarini Luciano. 2020. Limited genotypic and geographic variability of 16-O-methylated diterpene content in Coffea arabica green beans. Food Chemistry, 329:127129, 7 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Abstract : The acknowledged marker of Robusta coffee, 16-O-methylcafestol (16-OMC), can be quantified by NMR as a mixture with 16-O-methylkahweol (16-OMK), which accounts for approximately 10% of the mixture. In the present study, we detected and quantified 16-O-methylated diterpenes (16-OMD) in 248 samples of green Coffea arabica beans by NMR. We did not observe any differences between genotypes introgressed by chromosomal fragments of Robusta and non-introgressed genotypes. Environmental effects suggesting a possible protective role of 16-OMD for adaptation, as well as genotypic effects that support a high heritability of this trait were observed. Altogether, our data confirmed the presence of 16-OMD in green Arabica at a level approximately 1.5% that of a typical Robusta, endorsing the validity of 16-OMD as a marker for the presence of Robusta.

Mots-clés Agrovoc : Coffea arabica, Variation génétique, Spectroscopie RMN, Génotype

Mots-clés complémentaires : Café vert

Mots-clés libres : 16-O-methylcafestol, 16-O-methylkahweol, Coffea arabica, Green coffee, NMR

Classification Agris : F30 - Plant genetics and breeding
Q04 - Food composition

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Agence(s) de financement européenne(s) : European Commission

Programme de financement européen : H2020

Projet(s) de financement européen(s) : BREEDing Coffee for AgroForestry Systems

Auteurs et affiliations

  • Portaluri Vincent, Eurofins Analytics France (FRA)
  • Thomas Freddy, Eurofins Analytics France (FRA) - auteur correspondant
  • Guyader Sophie, Eurofins Analytics France (FRA)
  • Jamin Eric, Eurofins Analytics France (FRA)
  • Bertrand Benoît, CIRAD-BIOS-UMR IPME (FRA)
  • Remaud Gérald S., Université de Nantes (FRA)
  • Schievano Elisabetta, Università di Padova (ITA)
  • Mammi Stefano, Università di Padova (ITA)
  • Guercia Elena, Illycaffé (ITA)
  • Navarini Luciano, Illycaffé (ITA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/595889/)

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